Quadratic Optimal Tracking Control of Wind Turbine Systems

Feng LIU; Danyong LI; Peng LI; Yongduan SONG

doi:10.1016/j.ifacol.2015.12.178

Quadratic Optimal Tracking Control of Wind Turbine Systems

Feng LIU
, Danyong LI
, Peng LI
, Yongduan SONG^*

^*Corresponding author for this work

Research output: Journal Publications › Journal Article (refereed) › peer-review

2 Citations (Scopus)

Abstract

It is well known that the uncertainty arisen from the aerodynamic torque of wind speed imposes significant challenge for control of wind turbine, especially in the stage of maximum power point tracking (MPPT). In this paper, a sliding mode adaptive observer is proposed to estimate the nonlinear aerodynamic torque, based on which a linear quadratic tracking control optimization algorithm is developed. It is shown that this method can not only ensure precise rotor speed tracking, but also evidently reduce the vibration of the drive train. Both theoretical analysis and numerical simulations validate the effectiveness of the proposed method.

Original language	English
Pages (from-to)	502-507
Number of pages	6
Journal	IFAC-PapersOnLine
Volume	48
Issue number	28
Early online date	25 Dec 2015
DOIs	https://doi.org/10.1016/j.ifacol.2015.12.178
Publication status	Published - 2015
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2015

Funding

This work was supported in part by the Major State Basic Research Development Program 973 (No. 2012CB215202), the Fundamental Research Funds for the Central Universities (No. 2015JBM002 and 2015JBM003), and the National Natural Science Foundation of China (No. 51207007).

Keywords

Adaptive estimator
Linear quadratic optimization
Load mitigation
Wind power

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10.1016/j.ifacol.2015.12.178

Cite this

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title = "Quadratic Optimal Tracking Control of Wind Turbine Systems",

abstract = "It is well known that the uncertainty arisen from the aerodynamic torque of wind speed imposes significant challenge for control of wind turbine, especially in the stage of maximum power point tracking (MPPT). In this paper, a sliding mode adaptive observer is proposed to estimate the nonlinear aerodynamic torque, based on which a linear quadratic tracking control optimization algorithm is developed. It is shown that this method can not only ensure precise rotor speed tracking, but also evidently reduce the vibration of the drive train. Both theoretical analysis and numerical simulations validate the effectiveness of the proposed method.",

keywords = "Adaptive estimator, Linear quadratic optimization, Load mitigation, Wind power",

author = "Feng LIU and Danyong LI and Peng LI and Yongduan SONG",

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language = "English",

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T1 - Quadratic Optimal Tracking Control of Wind Turbine Systems

AU - LIU, Feng

AU - LI, Danyong

AU - LI, Peng

AU - SONG, Yongduan

PY - 2015

Y1 - 2015

N2 - It is well known that the uncertainty arisen from the aerodynamic torque of wind speed imposes significant challenge for control of wind turbine, especially in the stage of maximum power point tracking (MPPT). In this paper, a sliding mode adaptive observer is proposed to estimate the nonlinear aerodynamic torque, based on which a linear quadratic tracking control optimization algorithm is developed. It is shown that this method can not only ensure precise rotor speed tracking, but also evidently reduce the vibration of the drive train. Both theoretical analysis and numerical simulations validate the effectiveness of the proposed method.

AB - It is well known that the uncertainty arisen from the aerodynamic torque of wind speed imposes significant challenge for control of wind turbine, especially in the stage of maximum power point tracking (MPPT). In this paper, a sliding mode adaptive observer is proposed to estimate the nonlinear aerodynamic torque, based on which a linear quadratic tracking control optimization algorithm is developed. It is shown that this method can not only ensure precise rotor speed tracking, but also evidently reduce the vibration of the drive train. Both theoretical analysis and numerical simulations validate the effectiveness of the proposed method.

KW - Adaptive estimator

KW - Linear quadratic optimization

KW - Load mitigation

KW - Wind power

UR - https://www.scopus.com/pages/publications/84988666983

U2 - 10.1016/j.ifacol.2015.12.178

DO - 10.1016/j.ifacol.2015.12.178

M3 - Journal Article (refereed)

AN - SCOPUS:84988666983

SN - 2405-8963

VL - 48

SP - 502

EP - 507

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

IS - 28

ER -

Quadratic Optimal Tracking Control of Wind Turbine Systems

Abstract

Bibliographical note

Funding

Keywords

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